snoopd/gymnasium-rl-v1

PPO Agent playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

from re import M
# TODO: Define a PPO MlpPolicy architecture
# We use MultiLayerPerceptron (MLPPolicy) because the input is a vector,
# if we had frames as input we would use CnnPolicy
model = PPO(
    policy='MlpPolicy',
    env=env,
    verbose=1,
    batch_size=64,
    n_epochs=5,
    gamma=0.999,
    gae_lambda=0.98,
    ent_coef=0.01,
    vf_coef=0.5)

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